seer: Seer function to create forecasts

In chrishaarstick/mad4sight: MadStork Foresight

Description

Seer function to create forecasts

Usage

seer(df, y_var, sampling = samples(method = "split", args = list(ratio =
  0.9)), models = list(model(algo = "auto.arima")),
  selection = model_selection(), confidence_levels = c(80, 95),
  horizon = 1, forecast_xreg = NULL, backend = "sequential",
  user = NULL, uid = madutils::random_string("seer"), desc = "")

Arguments

df	data.frame input
y_var	column name of target variable
sampling	sample constructor function. see 'samples' function for details
models	list of model constructor functions. see 'model' function for details
selection	model_selection constructor function result. see 'model_selection' for details
confidence_levels	numeric vector with one or two confidence levels used in the forecast predictions
horizon	forecast horizon
forecast_xreg	optional foreacast covariate data
backend	future backend mode. 'sequential' creates single threaded execution. 'multisession' creates parrallel backend
user	optional string input for user. defaults to sys.user
uid	optional string for uid. defaults to random string
desc	optional string input for seer description. defaults to empty string

chrishaarstick/mad4sight documentation built on May 6, 2019, 4:31 p.m.